Tag
#MIT Schwarzman College of Computing
-
-
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
-
New control system teaches soft robots the art of staying safe
-
Researchers discover a shortcoming that makes LLMs less reliable
-
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
-
Understanding the nuances of human-like intelligence
-
Charting the future of AI, from safer answers to faster thinking
-
MIT researchers propose a new model for legible, modular software
-
Teaching robots to map large environments
-
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
-
A faster problem-solving tool that guarantees feasibility
-
Five with MIT ties elected to National Academy of Medicine for 2025
-
Creating AI that matters
-
New software designs eco-friendly clothing that can reassemble into new items
-
Method teaches generative AI models to locate personalized objects
-
MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
-
Using generative AI to diversify virtual training grounds for robots
-
Fighting for the health of the planet with AI
-
New prediction model could improve the reliability of fusion power plants
-
AI maps how a new antibiotic targets gut bacteria
-
Responding to the climate impact of generative AI
-
New AI system could accelerate clinical research
-
How to build AI scaling laws for efficient LLM training and budget maximization
-
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
-
DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
-
A greener way to 3D print stronger stuff
-
A new generative AI approach to predicting chemical reactions
-
3 Questions: The pros and cons of synthetic data in AI
-
3 Questions: On biology and medicine’s “data revolution”
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
Simpler models can outperform deep learning at climate prediction
-
A new way to test how well AI systems classify text
-
Eco-driving measures could significantly reduce vehicle emissions
-
MIT tool visualizes and edits “physically impossible” objects
-
New algorithms enable efficient machine learning with symmetric data
-
Robot, know thyself: New vision-based system teaches machines to understand their bodies
-
A new way to edit or generate images
-
The unique, mathematical shortcuts language models use to predict dynamic scenarios
-
Can AI really code? Study maps the roadblocks to autonomous software engineering
-
How to more efficiently study complex treatment interactions
-
AI shapes autonomous underwater “gliders”
-
Study could lead to LLMs that are better at complex reasoning
-
Using generative AI to help robots jump higher and land safely
-
LLMs factor in unrelated information when recommending medical treatments
-
Unpacking the bias of large language models
-
Photonic processor could streamline 6G wireless signal processing
-
Inroads to personalized AI trip planning
-
AI-enabled control system helps autonomous drones stay on target in uncertain environments
-
Teaching AI models what they don’t know
-
Teaching AI models the broad strokes to sketch more like humans do
-
An anomaly detection framework anyone can use
-
Building networks of data science talent
-
AI learns how vision and sound are connected, without human intervention
-
Learning how to predict rare kinds of failures
-
With AI, researchers predict the location of virtually any protein within a human cell
-
Study shows vision-language models can’t handle queries with negation words
-
Hybrid AI model crafts smooth, high-quality videos in seconds
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
Making AI models more trustworthy for high-stakes settings
-
The MIT-Portugal Program enters Phase 4
-
Merging design and computer science in creative ways
-
Designing a new way to optimize complex coordinated systems
-
“Periodic table of machine learning” could fuel AI discovery
-
3D modeling you can feel
-
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
-
Making AI-generated code more accurate in any language
-
A faster way to solve complex planning problems
-
Training LLMs to self-detoxify their language
-
New method efficiently safeguards sensitive AI training data
-
Could LLMs help design our next medicines and materials?
-
New method assesses and improves the reliability of radiologists’ diagnostic reports
-
Researchers teach LLMs to solve complex planning challenges
-
For this computer scientist, MIT Open Learning was the start of a life-changing journey
-
MIT Maritime Consortium sets sail
-
AI tool generates high-quality images faster than state-of-the-art approaches
-
Robotic helper making mistakes? Just nudge it in the right direction
-
Markus Buehler receives 2025 Washington Award
-
Like human brains, large language models reason about diverse data in a general way
-
AI model deciphers the code in proteins that tells them where to go
-
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
-
Can deep learning transform heart failure prevention?